Triple

T3018325
Position Surface form Disambiguated ID Type / Status
Subject Pontificia Universidad Católica de Chile E82391 entity
Predicate areaOfExcellence P41356 FINISHED
Object education LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: education | Statement: [Pontificia Universidad Católica de Chile, areaOfExcellence, education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaOfExcellence
Context triple: [Pontificia Universidad Católica de Chile, areaOfExcellence, education]
  • A. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • B. competenceArea
    Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
  • C. hasAcademicStrengthIn chosen
    Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
  • D. servesInstitutionalArea
    Indicates that an entity provides services or functions in support of a specific institutional area or domain.
  • E. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69ad961a97188190809dc73430a8eda8 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.